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Revolutionizing wind turbine fault diagnosis on supervisory control and data acquisition system with transparent artificial intelligence

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INTERNATIONAL JOURNAL OF GREEN ENERGY 2025年

作者： Irfan, Muhammad Yasin, Sana Draz, Umar Ali, Tariq Yasin, Isha Kareri, Tareq Rahman, Saifur Najran Univ Coll Engn Elect Engn Dept Najran 61441 Saudi Arabia Univ Okara Dept Comp Sci Okara Pakistan Univ Sahiwal Dept Comp Sci Sahiwal Pakistan Univ Tabuk Artificial Intelligence & Sensing Technol AIST Res Tabuk Saudi Arabia

This research proposes a new method for wind turbine fault detection using hybrid deep neural networks, along with explainable Artificial Intelligence (XAI) methods. This unique combination delivers a more accurate and interpretable model to enable improved maintenance strategies and efficiency in operations. The novelty of this work is that it is an intact methodology utilizing explainable AI for fault detection in turbines to overcome the known weaknesses of the existing methods in terms of transparency and interpretability. The research aims to create an elaborate AI system capable of accurately predicting turbine faults and providing engineers with transparent and comprehendible explanations regarding the decisions undertaken, which will further contribute to explainable learning. The observations were made during numerous simulations and tests, during which the proposed XAI-driven system indicated a significant increase of 99% in the accuracy rate and maintained the level of effectiveness in terms of upkeep. The proposed approach is expected to reduce the frequency of operation disruptions and put it as a new standard of reliability and efficiency to the industry, which nests the potential of transparent AI for a novel approach to industrial asset operation and would significantly redefine the rules of the field.

关键词： Explainable artificial intelligence fault analysis supervisory control and data acquisition wind technology wind turbine

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Designing an Intelligent control Philosophy in Reservoirs of Water Transfer Networks in supervisory control and data acquisition System Stations

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International Journal of Automation and computing 2021年第5期18卷 694-717页

作者： Ali Dolatshahi Zand Kaveh Khalili-Damghani Sadigh Raissi Department of Industrial Engineering South Tehran BranchIslamic Azad UniversityTehran ***Iran

In this paper, a hybrid neural-genetic fuzzy system is proposed to control the flow and height of water in the reservoirs of water transfer networks. These controls will avoid probable water wastes in the reservoirs and pressure drops in water distribution networks. The proposed approach combines the artificial neural network, genetic algorithm, and fuzzy inference system to improve the performance of the supervisory control and data acquisition stations through a new control philosophy for instruments and control valves in the reservoirs of the water transfer networks. First, a multi-core artificial neural network model, including a multi-layer perceptron and radial based function, is proposed to forecast the daily consumption of the water in a reservoir. A genetic algorithm is proposed to optimize the parameters of the artificial neural networks. Then, the online height of water in the reservoir and the output of artificial neural networks are used as inputs of a fuzzy inference system to estimate the flow rate of the reservoir inlet. Finally, the estimated inlet flow is translated into the input valve position using a transform control unit supported by a nonlinear autoregressive exogenous model. The proposed approach is applied in the Tehran water transfer network. The results of this study show that the usage of the proposed approach significantly reduces the deviation of the reservoir height from the desired levels.

关键词： Water demand forecasting water transfer network supervisory control and data acquisition water management multicore artificial neural network fuzzy inference system

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Research on condition operation monitoring of power system based on supervisory control and data acquisition model

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ALEXANDRIA ENGINEERING JOURNAL 2024年 99卷 326-334页

作者： Li, Bo Wang, Wei Guo, Jingwei Ding, Bo Informat & Commun Co State Grid Ningxia Elect Powe Yinchuan 750004 Ningxia Peoples R China

In order to better detect and identify the running state of the wind turbine equipment and its generator in the power system wind farm, and then improve the operation reliability of the wind turbine in the power system wind farm, the monitoring method of power system state operation based on supervisory control and data acquisition (SCADA) model was studied. The SCADA model pre installs different types of sensors on the units of the power system to collect, record and store the power data of the power system. The empirical wavelet transform method is selected to extract the signal characteristics from the state operation signals collected by the SCADA model. ReliefF algorithm is used to select features related to equipment status monitoring from the extracted status operation signal features. Fuzzy C-means clustering algorithm is used to analyze the correlation of feature selection results and identify power system operating conditions. According to the condition identification results of power system, support vector regression prediction algorithm is selected to output the monitoring results of power system state operation. The experimental results show that the monitoring time of the generator and other equipment is less than 100 ms, which provides a strong guarantee for the reliable operation of the power system. This result not only validates the validity of the monitoring and data acquisition model proposed in this paper, but also provides a new idea and method for the intelligent operation and safety management of power system.

关键词： supervisory control and data acquisition model Power system Status operation Monitoring research Empirical wavelet transform Support vector regression

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Improving windfarm operation practice through numerical modelling and supervisory control and data acquisition data analysis

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IET RENEWABLE POWER GENERATION 2014年第4期8卷 367-379页

作者： Castellani, Francesco Garinei, Alberto Terzi, Ludovico Astolfi, Davide Gaudiosi, Mario Univ Perugia Dept Ind Engn I-06100 Perugia Italy Univ Guglielmo Marconi DMII I-00193 Rome Italy Sorgenia Green Srl I-20124 Milan Italy

Usually, wind energy assessment on a new windfarm is conducted with maximum effort prior to the installation of the turbines by using both numerical and experimental investigations. Yet, often the windfarm performances during operation are not as good as expected. This issue can be investigated with a deep analysis of the operational conditions of the windfarm. The large amount of data collected by the SCADA (supervisory control and data acquisition) systems installed on the turbines can be very helpful. In the present study, the performances of a windfarm were analysed through the elaboration of the SCADA data from a windfarm in southern Italy;in this site, Sorgenia Green installed nine aerogenerators with a rated power of 2 MW each, on a hilly area with gentle slopes. A systematic approach is proposed to isolate the downtime because of malfunctioning and a manifold investigation is applied to the operational phase: several methods (polar efficiency plot, multidimensional graphical analysis, sectorial power curve and misalignment index, respectively) are suggested and applied for unveiling the sectors where the production output is most affected by the wake interactions. Numerical windflow modelling is performed in the wind rose sectors where underproduction is highlighted by a SCADA data analysis: finally, a SCADA database is employed for testing the goodness of the simulations.

关键词： supervisory control Operating conditions Wind farms malfunctions Statistical analysis supervisory control and data acquisition Power rating Surgery NUMERICAL MODELING power curve downtime turbines data analysis

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Condition monitoring of wind turbines based on analysis of temperature-related parameters in supervisory control and data acquisition data

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MEASUREMENT & control 2020年第1-2期53卷 164-180页

作者： Wang, Xian Zhao, Qiancheng Yang, Xuebing Zeng, Bing Hunan Univ Sci & Technol Engn Res Ctr Hunan Prov Min & Utilizat Wind Turbi Xiangtan 411201 Peoples R China XEMC Wind Power Co Ltd Xiangtan Peoples R China

In order to conduct a further in-depth exploration of the role of temperature-related parameters in the condition monitoring of wind turbines, this paper proposes a method to assess the condition of wind turbines by analyzing the supervisory control and data acquisition system temperature-related parameters based on existing research. A prediction model of time-sequence regression is established, based on the key temperature signals of WTs, so as to reflect their health condition in the form of prediction residuals. A kind of health index from the perspective of temperature-related parameters is developed by separating the statistics concerning the conformity of the predicted values of key temperature parameters within a certain time window from the measured values in order to clearly present the implied information on the health condition of wind turbines contained in the model prediction residuals. The case study shows that the trend of health index from the perspective of temperature-related parameters is consistent with the health condition of wind turbines. In some instances, its decline obviously occurs earlier than the maintenance provided to address the stoppage, suggesting that such indexes can effectively reflect some early health problems of the wind turbines to provide a reference for their scientific maintenance.

关键词： Wind turbines condition monitoring temperature-related parameters supervisory control and data acquisition health index

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Transforming supervisory control and data acquisition (SCADA) into Dynamic Monitoring and Decision Systems (DYMONDS): The Missing Link in Smart Grids

Transforming Supervisory Control and Data Acquisition (SCADA...

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IEEE-Power-and-Energy-Society General Meeting

作者： Ilic, Marija Carnegie Mellon Univ Elect & Comp Engn ECE Dept Pittsburgh PA 15213 USA Carnegie Mellon Univ Engn & Publ Policy EPP Dept Pittsburgh PA 15213 USA

ISBN: (纸本)9781424483570

In this paper we describe an effort which is under way at Carnegie Mellon University (CMU) in the Electric Energy Systems Group (EESG). We refer to this effort as the Dynamic Monitoring and Decision Systems (DYMONDS) initiative. Its objective is to develop an Information Technology (IT)-enabled framework in support of sustainable evolution of today's electric power systems into future energy systems capable of meeting dynamically evolving complex tradeoffs of business, societal and energy service users' needs both short-term and very long-term.

关键词： DYMONDS SCADA SCADA systems decision support systems dynamic monitoring and decision systems electric energy systems group electric power systems power generation economics power system measurement smart grids smart power grids supervisory control and data acquisition sustainable development sustainable evolution

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Heuristic Evaluation of supervisory control and data acquisition (SCADA) Displays 67th

Heuristic Evaluation of Supervisory Control and Data Acquisi...

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67th International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2023

作者： Pham, Thao Boone, Alexander P. Ngo, Mary K. Pacific Science & Engineering Group San DiegoCA United States

supervisory control and data acquisition (SCADA) is a computer software architecture that collects, analyzes, and delivers real-time production data to an accompanying human-machine interface (HMI) display. SCADA displays can help ensure efficiency in industrial settings by allowing users to monitor and control production processes, see system issues, and directly interact with equipment or devices (e.g., sensors, motors). However, SCADA displays tend to be highly complex and cluttered with data and interactive components. In this research, we conducted an evaluation of various SCADA displays available online using Neilson’s ten usability heuristics. The findings revealed that those displays scored poorly in the evaluation, indicating the need for redesign concepts that prioritize user needs. We then provide redesigned displays, conduct computational modeling to ensure the effectiveness of the redesigns, and propose a set of SCADA display design guidelines aimed at improving those displays to support user needs and, ultimately, improve user performance. © 2023 Human Factors and Ergonomics Society.

关键词： Display Heuristic evaluation Heuristic principles SCADA supervisory control and data acquisition

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Identifying supervisory control and data acquisition (SCADA) systems on a network via remote reconnaissance

Identifying Supervisory Control and Data Acquisition (SCADA)...

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作者： Kenneth C. Wiberg Naval Postgraduate School

学位级别：硕士

Presidential Decision Directive (PDD) 63 calls for improving the security of supervisory control and data acquisition (SCADA) and other control systems which operate the critical infrastructure of the United States. In the past, these industrial computer systems relied on security through obscurity. Recent economic and technical shifts within the controls industry have increased their vulnerability to cyber attack. Concurrently, their value as a target has been recognized by terrorist organizations and competing nation states. Network reconnaissance is a basic tool that allows computer security managers to understand their complex systems. However, existing reconnaissance tools incorporate little or no understanding of control systems. This thesis provides a conceptual analysis for the creation of a SCADA network exploration/reconnaissance tool. Several reconnaissance techniques were researched and reviewed in a laboratory environment to determine their utility for SCADA system discovery. Additionally, an application framework using common non-SCADA security tools was created to provide a proof of concept. Development of a viable tool for identifying SCADA systems remotely will help improve critical infrastructure security by improving situational awareness for network managers.

关键词： supervisory control and data acquisition SCADA Critical Infrastructure Protection CIP Network Reconnaissance Industrial control System Security

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An architectural framework for describing supervisory control and data acquisition (SCADA) systems

An architectural framework for describing Supervisory Contro...

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作者： Ward, Michael P. Naval Postgraduate School

学位级别：硕士

Two recent trends have raised concerns about the security and stability of supervisory control and data acquisition (SCADA) systems. The first is a move to define standard interfaces and communications protocols in support of cross-vendor compatibility and modularity. The second is a move to connect nodes in a SCADA system to open networks such as the Internet. Recent failures of critical infrastructure SCADA systems highlight these concerns. To ensure continued operations in times of crisis, SCADA systems, particularly those operating in our critical infrastructure, must be secured. Developing an abstract generic framework for defining and understanding SCADA systems is a necessary first step. A framework can provide the tools to understand the system's functions and capabilities, and how components in the system relate and interface with each other. This thesis examines and describes SCADA systems, their components, and commonly used communications protocols. It presents a matrix approach to describing and defining the features, functions and capabilities of a SCADA system. Two small SCADA systems, using industry standard components and simulating real world applications, were designed and constructed for this thesis to provide context for applying the matrix approach.

关键词： supervisory control and data acquisition SCADA Critical Infrastructure Protection CIP

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An approach to vulnerability assessment for Navy supervisory control and data acquisition (SCADA) system

An approach to vulnerability assessment for Navy Supervisory...

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作者： Hart, Dennis Naval Postgraduate School

学位级别：硕士

The unfortunate events of September 11, 2001 have caused a renewed effort to protect our Nation's Critical Infrastructures. SCADA systems are relied upon in a large number of the sectors that make up the critical infrastructure and their importance was reinforced during the massive power outage that occurred in August 2003. Growing reliance upon the Internet has emphasized the vulnerability of SCADA system communications to cyber attack. Only through diligent and continuous vulnerability assessment and certification and accreditation of these systems will the United States be able to mitigate some of the vulnerabilities of these systems. A case study presented here has validated the need for continued focus in this area. This thesis consolidates some of the research that has already been done in the area of SCADA vulnerability assessment and applies it by developing an initial vulnerability assessment checklist for Department of the Navy systems. This checklist can and should also be used in the certification and accreditation of DoN SCADA systems. A promising technology was also discovered during this research that should be explored further to secure SCADA communications. This will be touched on briefly.

关键词： Vulnerability Assessment SCADA Information Assurance supervisory control and data acquisition

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